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Screen-Shooting Resilient Watermarking Scheme via Learned Invariant Keypoints and QT.

Li Li1, Rui Bai1,2, Shanqing Zhang1

  • 1School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China.

Sensors (Basel, Switzerland)
|October 13, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a robust digital watermarking method resistant to screen capture. The novel approach ensures watermark extraction even after images are displayed and re-photographed, protecting digital content.

Keywords:
FRFSQTpartial shootingrobustnessscreen-shooting

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Area of Science:

  • Digital Image Processing
  • Computer Vision
  • Information Security

Background:

  • Screen-shooting poses a significant threat to digital image watermarking.
  • Existing watermarking schemes often fail under screen capture and re-photography attacks.
  • Robust keypoint detection and watermark embedding are crucial for screen-shooting resilience.

Purpose of the Study:

  • To propose a novel screen-shooting resilient watermarking scheme.
  • To enhance the robustness of watermark extraction against camera capture attacks.
  • To provide effective digital content protection and leak tracing capabilities.

Main Methods:

  • Utilizing a feature region filtering model (FRFS) based on SuperPoint neural networks for keypoint localization.
  • Embedding watermarks in regions centered around robust keypoints.
  • Applying a quaternion discrete Fourier transform (QDFT) and tensor decomposition (TD) algorithm (QT) for watermark embedding.
  • Implementing partial shooting scenarios for enhanced robustness through repeated watermark embedding.

Main Results:

  • The proposed scheme demonstrates high robustness against various camera shooting scenarios, including partial shooting.
  • Watermarks are successfully extracted from re-photographed images.
  • The method proves effective against special attacks, ensuring watermark integrity.

Conclusions:

  • The developed watermarking scheme offers significant resilience against screen-shooting attacks.
  • The technique provides a viable solution for proprietary protection and leak tracing of digital assets.
  • This approach advances the field of robust digital watermarking for practical applications.